DocumentCode :
1626986
Title :
Application of antenna array processing to problems in image understanding
Author :
Aghajan, Hamid K. ; Kailath, Thomas
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fYear :
1995
Firstpage :
303
Lastpage :
306
Abstract :
A unifying framework for solving several problems in image understanding is proposed based on the exploitation of subspace fitting techniques originally developed for antenna array processing applications. The SLIDE (subspace-based line detection) algorithm is a framework for introducing the concept of subspace fitting into problems in image understanding and computer vision. The basic formulation of SLIDE provides a solution to the problem of multiple line fitting in binary or grayscale images. However, as is shown, its modified versions can be applied to several other image analysis problems
Keywords :
array signal processing; computer vision; curve fitting; edge detection; state-space methods; SLIDE algorithm; antenna array processing; binary images; computer vision; grayscale images; image analysis; image understanding; multiple line fitting; subspace fitting techniques; subspace-based line detection; Array signal processing; Chirp; Covariance matrix; Fitting; Frequency; Image motion analysis; Image sensors; Information systems; Laboratories; Sensor arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems, and Electronics, 1995. ISSSE '95, Proceedings., 1995 URSI International Symposium on
Conference_Location :
San Francisco
Print_ISBN :
0-7803-2516-8
Type :
conf
DOI :
10.1109/ISSSE.1995.497994
Filename :
497994
Link To Document :
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